GB2595829A - Corrosion prediction for integrity assessment of metal tubular structures - Google Patents
Corrosion prediction for integrity assessment of metal tubular structures Download PDFInfo
- Publication number
- GB2595829A GB2595829A GB2113040.6A GB202113040A GB2595829A GB 2595829 A GB2595829 A GB 2595829A GB 202113040 A GB202113040 A GB 202113040A GB 2595829 A GB2595829 A GB 2595829A
- Authority
- GB
- United Kingdom
- Prior art keywords
- corrosion
- inputs
- applying
- algorithm
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000005260 corrosion Methods 0.000 title claims abstract 47
- 230000007797 corrosion Effects 0.000 title claims abstract 47
- 239000002184 metal Substances 0.000 title claims abstract 4
- 238000000034 method Methods 0.000 claims abstract 14
- 230000002596 correlated effect Effects 0.000 claims abstract 4
- 238000004519 manufacturing process Methods 0.000 claims 4
- 239000012530 fluid Substances 0.000 claims 3
- 239000003112 inhibitor Substances 0.000 claims 3
- 238000002347 injection Methods 0.000 claims 2
- 239000007924 injection Substances 0.000 claims 2
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/006—Detection of corrosion or deposition of substances
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
- E21B2200/20—Computer models or simulations, e.g. for reservoirs under production, drill bits
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics (AREA)
- Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)
- Investigating And Analyzing Materials By Characteristic Methods (AREA)
Abstract
A method for assessing an integrity of metal tubular structures may comprise receiving one or more inputs, applying an algorithm to automatically select an appropriate model for a given corrosion scenario, applying a combined model including semi-empirical and multiphase flow corrosion characteristics to the one or more inputs, determining one or more corrosion parameters of either an internal pipe wall, an external pipe surface, or both, applying a corrosion correlation value to the one or more corrosion parameters to produce one or more correlated corrosion parameters, and storing the one or more correlated corrosion parameters on a computer readable medium. A system may comprise an information handling system which may comprise at least one memory operable to store computer-executable instructions, at least one communications interface to access the at least one memory, and at least one processor.
Claims (20)
1. A method for assessing an integrity of metal tubular structures comprising: receiving one or more inputs; applying an algorithm to automatically select an appropriate model for a given corrosion scenario; applying a combined model including semi-empirical and multiphase flow corrosion characteristics to the one or more inputs; determining one or more corrosion parameters of either an internal pipe wall, an external pipe surface, or both; applying a corrosion correlation value to the one or more corrosion parameters to produce one or more correlated corrosion parameters; and storing the one or more correlated corrosion parameters on a computer readable medium.
2. The method of claim 1, wherein the step of applying an algorithm to automatically select an appropriate model for a given corrosion scenario selects a mechanistic O2/H2S corrosion model for internal corrosion of water-injection tubing.
3. The method of claim 1, wherein the step of applying an algorithm to automatically select an appropriate model for a given corrosion scenario selects a semi-empirical CO2/H2S corrosion model for internal corrosion of production tubing.
4. The method of claim 1, wherein the step of applying an algorithm to automatically select an appropriate model for a given corrosion scenario is based on the one or more inputs.
5. The method of claim 4, wherein the one or more inputs comprises pipe properties.
6. The method of claim 4, wherein the one or more inputs comprises fluid properties.
7. The method of claim 4, wherein the one or more inputs comprises inhibitor usage information properties.
8. A method of manufacturing an integrity assessment data product, the method comprising: receiving one or more inputs; applying a combined model including semi-empirical and multiphase flow corrosion characteristics to the one or more inputs; applying an algorithm to select an appropriate model for a given corrosion scenano; determining one or more corrosion parameters of either an internal pipe wall or an external pipe surface; applying a corrosion correlation value to the one or more corrosion parameters to produce one or more corelated corrosion parameters; and recording the one or more corelated corrosion parameters on one or more tangible, non-volatile computer-readable media thereby creating the integrity assessment data product.
9. The method of claim 8, wherein the step of applying an algorithm to select an appropriate model for a given corrosion scenario is based on the one or more inputs.
10. The method of claim 8, wherein the step of applying an algorithm to select an appropriate model for a given corrosion scenario selects a semi-empirical CO2/H2S corrosion model for internal corrosion of production tubing.
11. The method of claim 8, wherein the one or more inputs comprises pipe properties.
12. The method of claim 8, wherein the one or more inputs comprises fluid properties.
13. The method of claim 8, wherein the one or more inputs comprises inhibitor usage information properties.
14. A system for assessing an integrity of metal tubular structures comprising: an information handling system comprising: at least one memory operable to store computer-executable instructions; at least one communications interface to access the at least one memory; and at least one processor configured to access the at least one memory via the at least one communications interface and execute the computer-executable instructions to: receive one or more inputs; apply a combined model including semi-empirical and multiphase flow corrosion characteristics to the one or more inputs; apply an algorithm to automatically select an appropriate model for a given corrosion scenario; determine a corrosion parameter of either an internal pipe wall or an external pipe surface; apply a corrosion correlation value to the corrosion parameter to produce a corelated corrosion parameter; and store the corelated corrosion parameter on a computer readable medium.
15. The system of claim 14, wherein the computer-executable instructions to apply an algorithm to automatically select an appropriate model for a given corrosion scenario selects a mechanistic O2/H2S corrosion model for internal corrosion of water-injection tubing.
16. The system of claim 14, wherein the computer-executable instructions to apply an algorithm to automatically select an appropriate model for a given corrosion scenario selects a semi-empirical CO2/H2S corrosion model for internal corrosion of production tubing.
17. The system of claim 14, wherein the one or more inputs comprises pipe properties.
18. The system of claim 14, wherein the one or more inputs comprises fluid properties.
19. The system of claim 14, wherein the one or more inputs comprises inhibitor usage information properties.
20. The system of claim 14, wherein the computer-executable instructions to apply an algorithm to automatically select an appropriate model for a given corrosion scenario is based on the one or more inputs.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/US2019/032705 WO2020231442A1 (en) | 2019-05-16 | 2019-05-16 | Corrosion prediction for integrity assessment of metal tubular structures |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| GB202113040D0 GB202113040D0 (en) | 2021-10-27 |
| GB2595829A true GB2595829A (en) | 2021-12-08 |
| GB2595829B GB2595829B (en) | 2023-03-15 |
Family
ID=73289680
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB2113040.6A Active GB2595829B (en) | 2019-05-16 | 2019-05-16 | Corrosion prediction for integrity assessment of metal tubular structures |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US11891889B2 (en) |
| GB (1) | GB2595829B (en) |
| NO (1) | NO20211100A1 (en) |
| WO (1) | WO2020231442A1 (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11732569B2 (en) | 2021-07-28 | 2023-08-22 | Saudi Arabian Oil Company | Well tubing/casing corrosion deposits descaling model |
| CN113959937B (en) * | 2021-11-12 | 2024-07-19 | 北京理工大学重庆创新中心 | Salt spray test method and device |
| CN116658150B (en) * | 2023-06-06 | 2023-12-12 | 中国地质大学（北京） | Test device and method for casing hole erosion simulation based on hydraulic fracturing method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080257782A1 (en) * | 2007-04-18 | 2008-10-23 | General Electric Company | Corrosion assessment method and system |
| US20100185401A1 (en) * | 2009-01-19 | 2010-07-22 | Hernandez Sandra E | Method and system for predicting corrosion rates using mechanistic models |
| US9317635B2 (en) * | 2012-06-29 | 2016-04-19 | Chevron U.S.A. Inc. | Processes and systems for predicting corrosion |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4752360A (en) * | 1985-06-03 | 1988-06-21 | Cities Service Oil And Gas Corporation | Corrosion probe and method for measuring corrosion rates |
| US4998208A (en) * | 1987-03-16 | 1991-03-05 | The Standard Oil Company | Piping corrosion monitoring system calculating risk-level safety factor producing an inspection schedule |
| US7609874B2 (en) * | 2005-12-21 | 2009-10-27 | Honeywell International Inc. | System and method for prediction of pitting corrosion growth |
| US8577626B2 (en) * | 2008-07-22 | 2013-11-05 | General Electric Company | System and method for assessing fluid dynamics |
| US7941282B2 (en) * | 2008-08-01 | 2011-05-10 | Bp Exploration Operating Company Limited | Estimating worst case corrosion in a pipeline |
| EP2439527A1 (en) * | 2010-10-07 | 2012-04-11 | Nederlandse Organisatie voor toegepast -natuurwetenschappelijk onderzoek TNO | System and method for performing ultrasonic pipeline wall property measurements |
| BR112013028437A2 (en) * | 2011-05-04 | 2017-01-24 | Quanta Associates Lp | energy infrastructure risk analysis and remediation |
| US9297767B2 (en) * | 2011-10-05 | 2016-03-29 | Halliburton Energy Services, Inc. | Downhole species selective optical fiber sensor systems and methods |
| US10060250B2 (en) * | 2012-03-13 | 2018-08-28 | Halliburton Energy Services, Inc. | Downhole systems and methods for water source determination |
| US9274854B2 (en) * | 2012-07-27 | 2016-03-01 | International Business Machines Corporation | Contamination based workload management |
| US20140278148A1 (en) * | 2013-03-13 | 2014-09-18 | Eric Ziegel | Virtual in-line inspection of wall loss due to corrosion in a pipeline |
| GB2513679B (en) * | 2013-04-30 | 2016-01-06 | Iphase Ltd | Method of defining a mulitphase flow comprising three phases |
| US10330587B2 (en) * | 2015-08-31 | 2019-06-25 | Exxonmobil Upstream Research Company | Smart electrochemical sensor for pipeline corrosion measurement |
| US20180365555A1 (en) * | 2016-12-22 | 2018-12-20 | Naveed Aslam | Artificial intelligence based algorithm for predicting pipeline leak and corrosion detection |
| US11268896B2 (en) * | 2019-03-14 | 2022-03-08 | Uchicago Argonne, Llc | Electrochemical corrosion under controlled redox conditions |
| US20230034897A1 (en) * | 2019-12-27 | 2023-02-02 | Ptt Exploration And Production Public Company Limited | A method and system for predicting pipeline corrosion |
| US11274049B2 (en) * | 2020-04-08 | 2022-03-15 | Saudi Arabian Oil Company | Methods and systems for optimizing corrosion and scale inhibitor injection rates in process plants |
-
2019
- 2019-05-16 GB GB2113040.6A patent/GB2595829B/en active Active
- 2019-05-16 WO PCT/US2019/032705 patent/WO2020231442A1/en active Application Filing
- 2019-05-16 US US17/606,228 patent/US11891889B2/en active Active
- 2019-05-16 NO NO20211100A patent/NO20211100A1/en unknown
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080257782A1 (en) * | 2007-04-18 | 2008-10-23 | General Electric Company | Corrosion assessment method and system |
| US20100185401A1 (en) * | 2009-01-19 | 2010-07-22 | Hernandez Sandra E | Method and system for predicting corrosion rates using mechanistic models |
| US9317635B2 (en) * | 2012-06-29 | 2016-04-19 | Chevron U.S.A. Inc. | Processes and systems for predicting corrosion |
Non-Patent Citations (2)
| Title |
|---|
| ADETUNJI, OLAYIDE RASAQ, " Modeling and Simulation of Pipeline Corrosion in the Oil and Gas Industries", Corrosion and Materials in the Oil and Gas Industries, CRC Press Taylor and Francis Group, London, October 2013, 1st Edition, pp. 375-394. pages 382-392 * |
| NESIC, SRDJAN, " Key issues related to modelling of internal corrosion of oil and gas pipelines - A review." Corrosion Science, 14 July 2007, Vol.49, Iss. 12, pp.4308 - 4338. pages 4327 - 4333 * |
Also Published As
| Publication number | Publication date |
|---|---|
| GB2595829B (en) | 2023-03-15 |
| GB202113040D0 (en) | 2021-10-27 |
| US11891889B2 (en) | 2024-02-06 |
| US20220205353A1 (en) | 2022-06-30 |
| NO20211100A1 (en) | 2021-09-10 |
| WO2020231442A1 (en) | 2020-11-19 |
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